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experience: PhD in bioinformatics, computational biology, data science, computer science, genetics or other relevant field Demonstrated experience in analyzing high-throughput life science data Proficiency in
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on high-performance computing (HPC) systems. Closely Collaborate with Clinicians and Wet-Lab Scientists on the experimental design and collect data for computational modelling and analysis. Engage Actively
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Northern wetlands emit large amounts of methane (CH4), a potent greenhouse gas. There are high uncertainties in the estimation of wetland CH4 emissions due to the large temporal and spatial variations in CH4
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and psychophysical measurement systems at Aalto Behavioral Laboratory (ABL). Computational infrastructure comprised of Triton high-performance computing cluster, CSC – IT Center for Science, and LUMI
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of Forest Sciences. Applicants must have strong evidence of research, teaching, and thesis supervision in the field. Successful performance in the position requires the applicant to have research and teaching
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infrastructure for micro- and nanotechnology Computational infrastructure consisting of the Triton high-performance computing cluster, CSC – IT Center for Science and LUMI supercomputer. Potential